proposed approach for opal workflow sept 2009. workflow overview
Post on 21-Dec-2015
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Proposed Approach forOPAL Workflow
Sept 2009
Workflow Overview
Modules
Register orthogonal datasets &Apply transform
• Affine registration of sagittal and coronal data to axial data using mutual information (markers not currently used)
Resample datasets into new image
• Datasets “merged” by resampling• Weighting of each dataset based on distance
of point to nearest slice
Atlas model creation throughexpert segmentation
• Final model includes volumetric mesh and connected points representing muscle fibers
Segmentation by coarse user-controlled registration (initialization)
Segmentation by automatedimage-based registration
Specifications
General
• Quantify results using– Synthetic data: basic shapes, synthetic med data– Human data: ideal control data, patient data
• Prototyped using Matlab unless specified• Module input adaptable to allow for use of
Livewire
Assumption:Atlas model has corresponding MRI
• Alternatives if atlas has no corresponding MRI
Future Work
1. Collaboration with Yohann and Marek• Use of their workflow for Mesh-Match-and-
Repair for patient model segmentation• Contributions to this work:– The deformation of interior nodes, muscles and
landmarks (not just surface mesh)– Reliability constraints on landmarks, curves and
surfaces
Future Work
2. Possible new tongue structure• Surface mesh is arbitrary• Tongue consists of muscle fibers and skin is
for visual and collision calculation purposes only, appearing as a “skin” over muscles
• Registration deforms the muscle nodes only and ignores visible tongue surface